n8n, Zapier, or Make: which automation platform to choose
Automation stopped being a question of "whether" a long time ago. It is a question of "with what", and the three most common answers are Zapier, Make, and n8n. The differences between them only become visible when the bill grows.
Almost every business automation today runs through a platform that connects your apps: the website form to the CRM, the order to the invoice, the email to the spreadsheet. Zapier, Make, and n8n do the same thing at first glance, but they differ seriously in price, flexibility, and whose servers see your data. The choice between them determines what you pay every month and how far you can go, so it is worth making it informed from the start.
What these platforms actually do
All three solve the same problem: the apps you use every day do not talk to each other. The order lands in the store, but the invoice is written by hand. The inquiry arrives by email, and someone types it into the CRM manually. The automation platform takes over that work: it watches for events in one app and triggers actions in another, following rules you define.
After that the differences begin: how many apps are supported, how much logic is allowed, how you get charged, and where the data lives.
Zapier: the easiest way in
Zapier is the veteran with the most ready-made connections: over 7,000 apps. The interface is the simplest of the three: pick a trigger, add steps, done. For someone without a technical background it is the shortest path from an idea to something working.
The comfort shows up in the bill. Zapier charges per executed task, and at growing volumes it becomes the most expensive of the three, sometimes by multiples. Complex logic with branching and error handling also hits the ceiling quickly: the platform was built for simple chains.
It fits when volumes are small, the automations are simple, and the most expensive resource is your setup time.
Make: more power for less money
Make (formerly Integromat) sits in the middle. The visual editor shows the process as a diagram with branches, which makes more complex scenarios visible and manageable. Prices are noticeably lower than Zapier’s at the same volumes, and the control over each step is finer: filters, routes, retries on error.
The trade-off is a steeper learning curve. Someone opening Make for the first time sees a diagram with modules and settings, not a friendly wizard. For a team with some technical culture that is a fair price for the flexibility; for someone who wants it working by tomorrow, it is an obstacle.
It fits businesses whose volumes and processes are growing but do not yet justify their own server.
n8n: the control is yours
n8n is the different breed: an open-source platform you can run on your own server. That changes three things at once. First, you pay for the server, not for each execution: at a hundred or a hundred thousand tasks per month the cost is the same. Second, the data stays in your infrastructure, which makes the GDPR conversation much shorter when customers’ personal data is involved. Third, there is no ceiling: where the ready connectors end, code begins, along with custom API integrations and AI agents working directly with your systems.
The price is responsibility. Someone has to update and protect the server, and the more complex scenarios take expertise. Which is why n8n usually appears in tandem: the business uses it, and a partner like us has built it and keeps it running. n8n is exactly what we build most automations with in our AI automation service.
| Zapier | Make | n8n | |
|---|---|---|---|
| Ease of getting started | Easiest | Medium | Takes experience |
| Cost at high volume | Highest | Middle | Lowest (own server) |
| Complex logic | Limited | Good | No ceiling, including code |
| Data and GDPR | In someone else's cloud | In someone else's cloud | Can stay entirely with you |
| AI capabilities | Basic steps | Basic steps | AI agents, your own models and prompts |
How to choose: three questions instead of a hundred reviews
How many executions per month do you expect in a year? Not today, in a year. Small volumes forgive any choice; large ones punish per-task pricing.
Whose data flows through the automations? If there is customers’ personal data, health or financial information inside, keeping everything on your own server outweighs the convenience of the cloud by a lot.
Who will maintain them? An automation is not a one-time setup: apps change their APIs, processes change shape. If the answer is “nobody”, pick the simpler platform or a partner who takes on the care.
Our own approach is pragmatic: we start from the process, not the tool. Sometimes the right answer is Zapier for a week, sometimes an n8n installation that grows with the business for years. Which processes are worth automating first is covered in our article on the five automations for any business.
The platform is only a conduit. The value is in someone understanding your process well enough to turn it into a system that does not break silently.
Frequently asked questions
Which platform is the cheapest for automations?
At small volumes the difference is negligible: all three have free or cheap starter plans. At high execution counts the math flips: Zapier charges per task and gets expensive fastest, Make sits in the middle, and a self-hosted n8n costs as much as the server it runs on, no matter how many automations it executes.
What does it mean that n8n can be self-hosted, and why does it matter?
It means the platform runs on your own server instead of someone else's cloud. Your customers' data never leaves your infrastructure, which makes GDPR compliance easier, and the cost does not grow with the number of executions. The trade-off is that someone has to maintain that server.
Can I build the automations myself without a developer?
Simple chains like "new order → row in a spreadsheet → email" are entirely doable on your own, especially in Zapier. Once branching, error handling, APIs without a ready connector, and AI steps appear, experience starts to show: a poorly built automation works until it stops silently, with nobody noticing.
Which platform is best for AI automations?
All three now have AI steps, but n8n gives the most freedom: your own prompts, different models, AI agents with access to your data and tools. Zapier and Make are quicker for simple AI tasks like drafting a reply or summarizing an email.
What if the platform shuts down or changes its pricing?
That is a real risk with cloud services: both Zapier and Make have raised prices and retired features before. So document your automations and keep the logic as portable as you can. With n8n on your own server the risk is smaller: the version you run is yours and keeps working.
Related reading
Which platform fits your business?
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